Fitness Landscapes and Inductive Genetic Programming

1998 ◽  
pp. 414-418 ◽  
Author(s):  
V. Slavov ◽  
N. I. Nikolaev
Keyword(s):  
Genetic Programming ◽  
Fitness Landscapes

scholarly journals Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes

2006 ◽  
pp. 178-189 ◽  
Author(s):  
Leonardo Vanneschi ◽  
Marco Tomassini ◽  
Philippe Collard ◽  
Sébastien Vérel
Keyword(s):  
Genetic Programming ◽  
Fitness Landscapes ◽  
Negative Slope ◽  
Slope Coefficient

A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming

2005 ◽  
Vol 13 (2) ◽  
pp. 213-239 ◽  
Author(s):  
Marco Tomassini ◽  
Leonardo Vanneschi ◽  
Philippe Collard ◽  
Manuel Clergue
Keyword(s):  
Genetic Programming ◽  
Statistical Study ◽  
Fitness Landscapes ◽  
Distance Correlation ◽  
Fitness Distance Correlation

We present an approach to genetic programming difficulty based on a statistical study of program fitness landscapes. The fitness distance correlation is used as an indicator of problem hardness and we empirically show that such a statistic is adequate in nearly all cases studied here. However, fitness distance correlation has some known problems and these are investigated by constructing an artificial landscape for which the correlation gives contradictory indications. Although our results confirm the usefulness of fitness distance correlation, we point out its shortcomings and give some hints for improvement in assessing problem hardness in genetic programming.

Classification of EEG Signals using Genetic Programming

2017 ◽  
Author(s):  
Marco Antonio Meggiolaro ◽  
Felipe Rebelo Lopes
Keyword(s):  
Genetic Programming ◽  
Eeg Signals
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